Azure Data Explorer
From Wikipedia, the free encyclopedia
 | |
| Developer(s) | Microsoft |
|---|---|
| Initial release | 2018 |
| Platform | Microsoft Azure |
| Type | Cloud storage |
| License | Proprietary |
| Website | docs |
Azure Data Explorer is a fully-managed[1] big data analytics cloud platform[2][3] and data-exploration service,[4] developed by Microsoft,[5][6] that ingests structured, semi-structured (like JSON) and unstructured data (like free-text).[7][8][9][10] The service then stores this data and answers analytic ad hoc queries on it with seconds of latency. It is a full-text indexing and retrieval database, including time series analysis capabilities[6][7] and regular expression evaluation and text parsing.[11]
It is offered as platform as a service (PaaS) as part of Microsoft Azure platform. The product was announced by Microsoft in 2018.
The development of the product began in 2014 as a grassroots incubation project in the Israeli R&D center of Microsoft,[12] with the internal code name 'Kusto'[9][7] (named after Jacques Cousteau, as a reference to "exploring the ocean of data"). The project aim was to address Azure services' needs for fast and scalable log and telemetry analytics.
In 2016 it became the backend big-data and analytics service for Application Insights Analytics.[13]
The product was announced as a Public Preview product at the Microsoft Ignite 2018 conference,[14] and was announced as a generally available at the Microsoft Ignite conference of February 2019.[15]
In March 2021, "Kusto EngineV3", Azure Data Explorer's next generation storage and query engine, became generally available. It was designed to provide unparalleled performance for ingesting and querying telemetry, logs, and time series data.[16]